Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "133"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 133 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 30 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 30 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 133, Node N11:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460013 not_connected 0.00% 0.00% 0.00% 0.00% - - 0.891885 -1.151299 -1.188766 -0.448158 -0.590305 -0.870538 -0.292488 1.454482 0.5182 0.5489 0.3647 nan nan
2460012 not_connected 0.00% 0.00% 0.00% 0.00% - - 0.971968 -1.174479 -1.358690 -0.616939 -0.580522 -0.999006 -0.508619 1.946518 0.5222 0.5512 0.3600 nan nan
2460011 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460010 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460009 not_connected 100.00% 99.89% 99.89% 0.00% - - nan nan inf inf nan nan nan nan 0.3870 0.3678 0.3936 nan nan
2460008 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460007 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459999 not_connected 0.00% 0.08% 0.00% 0.00% - - nan nan nan nan nan nan nan nan 0.5696 0.5878 0.3226 nan nan
2459998 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.175534 -1.164023 -1.225246 -0.478661 -0.763766 -0.959582 -0.060593 1.960087 0.5564 0.5878 0.3885 nan nan
2459997 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.211579 -1.289091 -1.165068 -0.448739 -0.937595 -1.098743 0.170984 2.420721 0.5737 0.6044 0.3909 nan nan
2459996 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.050435 -1.383009 -1.279098 -0.585145 -1.070386 -0.917162 -0.580870 0.256137 0.5757 0.6014 0.4018 nan nan
2459995 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.286542 -1.416038 -1.542999 -0.577215 -0.949490 -0.924337 -0.343222 0.366809 0.5690 0.5982 0.3937 nan nan
2459994 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.374348 -1.455124 -1.350591 -0.562906 -0.981628 -0.764049 0.066524 1.630194 0.5664 0.5965 0.3865 nan nan
2459993 not_connected 0.00% 0.00% 0.00% 0.00% - - 0.846715 -1.521396 -1.131246 -0.339256 -1.024888 -1.172303 -0.483010 0.695515 0.5526 0.6102 0.4046 nan nan
2459991 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.205169 -1.465399 -1.270970 -0.332159 -0.888285 -1.193290 -0.530357 0.693778 0.5665 0.5909 0.3946 nan nan
2459990 not_connected 0.00% 0.00% 0.00% 0.00% - - 0.392119 -0.946557 -1.264421 -0.247271 -0.783956 -0.926306 -0.679299 0.524088 0.5579 0.5898 0.3928 nan nan
2459989 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.619179 -0.995603 -0.968545 -0.281085 -0.907012 -1.286409 -0.564274 0.582071 0.5602 0.5912 0.3944 nan nan
2459988 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.686186 -1.286457 -1.384479 -0.280295 -0.989003 -1.018490 -0.653278 0.793736 0.5629 0.5929 0.3881 nan nan
2459987 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.004332 -1.412450 -1.292553 -0.557766 -0.826977 -1.040784 -0.441199 1.927288 0.5706 0.6015 0.3832 nan nan
2459986 not_connected 0.00% 0.00% 0.00% 0.00% - - 0.273017 -1.454774 -1.400137 -0.401369 -1.206675 -0.713872 -0.874830 -0.713850 0.5964 0.6305 0.3396 nan nan
2459985 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.660341 -1.532969 -1.386465 -0.601903 -1.253996 -1.185528 -0.540833 1.817337 0.5754 0.6023 0.3903 nan nan
2459984 not_connected 0.00% 0.00% 0.00% 0.00% - - 0.043089 -1.142583 -1.309070 -0.582733 -1.703455 -1.730350 -1.035079 -0.365583 0.5887 0.6187 0.3728 nan nan
2459983 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.451217 -1.313018 -1.357577 -0.305799 -1.401872 -0.812455 -0.182714 -0.038668 0.6048 0.6433 0.3242 nan nan
2459982 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.861336 -0.632950 -1.079914 -0.740525 -1.276731 -1.289101 -0.256316 -0.997171 0.6512 0.6704 0.3014 nan nan
2459981 not_connected 100.00% 0.00% 0.00% 0.00% - - -0.306753 -0.878757 -1.427468 -0.126850 0.112637 7.995322 -0.611556 0.699475 0.5686 0.6011 0.3909 nan nan
2459980 not_connected 0.00% 0.00% 0.00% 0.00% - - -1.254653 0.114321 -0.951381 1.478370 -1.249451 1.160197 -1.201998 0.394232 0.6256 0.6473 0.3250 nan nan
2459979 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.949556 0.163860 -0.859946 1.496635 -0.755465 0.697944 -0.821967 -0.607414 0.5708 0.6085 0.3956 nan nan
2459978 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.987036 0.308351 -0.801720 1.808063 -0.751490 1.237234 -0.897454 -0.379285 0.5698 0.6054 0.4053 nan nan
2459977 not_connected 0.00% 0.00% 0.00% 0.00% - - -1.040993 0.674454 -0.896963 1.463563 -1.335693 1.142341 -0.925662 -0.998172 0.5339 0.5641 0.3609 nan nan
2459976 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.904426 0.368734 -0.946913 1.726430 -0.862294 1.323935 -0.743844 -0.542509 0.5788 0.6118 0.3956 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 133: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties 1.454482 0.891885 -1.151299 -1.188766 -0.448158 -0.590305 -0.870538 -0.292488 1.454482

Antenna 133: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties 1.946518 0.971968 -1.174479 -1.358690 -0.616939 -0.580522 -0.999006 -0.508619 1.946518

Antenna 133: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 133: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 133: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 133: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Shape nan nan nan inf inf nan nan nan nan

Antenna 133: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 133: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Shape nan nan nan nan nan nan nan nan nan

Antenna 133: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties 1.960087 -0.175534 -1.164023 -1.225246 -0.478661 -0.763766 -0.959582 -0.060593 1.960087

Antenna 133: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties 2.420721 -0.211579 -1.289091 -1.165068 -0.448739 -0.937595 -1.098743 0.170984 2.420721

Antenna 133: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties 0.256137 -0.050435 -1.383009 -1.279098 -0.585145 -1.070386 -0.917162 -0.580870 0.256137

Antenna 133: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties 0.366809 -0.286542 -1.416038 -1.542999 -0.577215 -0.949490 -0.924337 -0.343222 0.366809

Antenna 133: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties 1.630194 -0.374348 -1.455124 -1.350591 -0.562906 -0.981628 -0.764049 0.066524 1.630194

Antenna 133: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected ee Shape 0.846715 0.846715 -1.521396 -1.131246 -0.339256 -1.024888 -1.172303 -0.483010 0.695515

Antenna 133: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties 0.693778 -0.205169 -1.465399 -1.270970 -0.332159 -0.888285 -1.193290 -0.530357 0.693778

Antenna 133: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties 0.524088 -0.946557 0.392119 -0.247271 -1.264421 -0.926306 -0.783956 0.524088 -0.679299

Antenna 133: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties 0.582071 -0.995603 -0.619179 -0.281085 -0.968545 -1.286409 -0.907012 0.582071 -0.564274

Antenna 133: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties 0.793736 -1.286457 -0.686186 -0.280295 -1.384479 -1.018490 -0.989003 0.793736 -0.653278

Antenna 133: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties 1.927288 -0.004332 -1.412450 -1.292553 -0.557766 -0.826977 -1.040784 -0.441199 1.927288

Antenna 133: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
133 N11 not_connected ee Shape 0.273017 -1.454774 0.273017 -0.401369 -1.400137 -0.713872 -1.206675 -0.713850 -0.874830

Antenna 133: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties 1.817337 -1.532969 -0.660341 -0.601903 -1.386465 -1.185528 -1.253996 1.817337 -0.540833

Antenna 133: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected ee Shape 0.043089 0.043089 -1.142583 -1.309070 -0.582733 -1.703455 -1.730350 -1.035079 -0.365583

Antenna 133: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Discontinuties -0.038668 -0.451217 -1.313018 -1.357577 -0.305799 -1.401872 -0.812455 -0.182714 -0.038668

Antenna 133: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected ee Temporal Discontinuties -0.256316 -0.861336 -0.632950 -1.079914 -0.740525 -1.276731 -1.289101 -0.256316 -0.997171

Antenna 133: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Temporal Variability 7.995322 -0.878757 -0.306753 -0.126850 -1.427468 7.995322 0.112637 0.699475 -0.611556

Antenna 133: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Power 1.478370 0.114321 -1.254653 1.478370 -0.951381 1.160197 -1.249451 0.394232 -1.201998

Antenna 133: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Power 1.496635 -0.949556 0.163860 -0.859946 1.496635 -0.755465 0.697944 -0.821967 -0.607414

Antenna 133: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Power 1.808063 0.308351 -0.987036 1.808063 -0.801720 1.237234 -0.751490 -0.379285 -0.897454

Antenna 133: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Power 1.463563 -1.040993 0.674454 -0.896963 1.463563 -1.335693 1.142341 -0.925662 -0.998172

Antenna 133: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
133 N11 not_connected nn Power 1.726430 0.368734 -0.904426 1.726430 -0.946913 1.323935 -0.862294 -0.542509 -0.743844
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